Service
Your team learns on its own tasks.
Small-group sessions on the tasks your team has pending that week, with the tools you already use.
Not a course. By the end, each person has something of their own working and knows how to repeat it.
We have spent years putting AI into production for companies that cannot afford for it to fail.
AWS technology partner
The two tracks
Two paths that are not walked the same way.
Both work on your tasks and both end with something working. What changes is the language, the tools and what needs to be reviewed.
Sales, customer service, admin and marketing
Business and operations
By the end, your team knows how to
- Solve with AI the tasks that take up the morning today.
- Write down the company’s criteria and apply them the same way every time.
- Tell what can be delegated from what a person reviews.
Development, data and systems
Technical teams
By the end, your team knows how to
- Work with AI inside the repository itself.
- Write the context so it is applied on every change.
- Tell where it is not worth using, and why.
How we work
Working sessions, not lectures.
- Small groups A large group turns the session into a lecture. We would rather run it twice with two groups.
- Everyone brings a real task Not an exercise. Without real tasks, the session does not take place.
- With your tools and your access Not with a demo account and data that is not yours.
- Every session ends with something working And with what was decided in writing, at the time and not afterwards.
Before starting, someone on your team chooses the cases: it is the only preparation we ask for and the one that decides whether the training is useful. Afterwards we review what is still in use.
What stays
Criteria stop depending on one person.
When one or two people master AI and the rest carry on as before, the knowledge leaves with them. Our job is to write those criteria down and put them where they are used.
The company’s criteria, in writing
How it arrivesA living document written during the sessions, not afterwards.
Who uses itWhoever joins tomorrow and was not in any session.
Loaded into the tools you already use
How it arrivesWhere the team works, so it is applied without having to remember it.
Who uses itAnyone who asks, whether they attended or not.
The cases from the sessions, in use
How it arrivesWhat was built in the sessions stays running.
Who uses itThe same team, the next day.
Who has already done it
In the words of the team that received it.
We wanted to thank Pleasepoint enormously for the agentic AI training they gave our team. It has been a genuine turning point in how we understand and apply agentic AI day to day. Thanks to their vision and their method, we have not only streamlined processes, we are getting far more out of tools we were never using to their full potential. A ten out of ten for how practical and how inspiring it was.
Shall we set it up with your team?
Tell us which teams they are and what they have pending, and we will tell you what could be worked on in the sessions.
Frequently asked questions
What people ask before setting it up.
Do people need to know how to code?
On the business track, no: they work with the tools they already use. On the technical track we assume the team codes.
What if the team goes back to working as before?
It happens when what was learned is not used in real work. That is why we start from tasks that are actually pending and why there is a review afterwards.
Can you train only part of the team?
Yes, and it is usually the best way to start. When a few people work differently and write it down, the rest come on board with less effort.
Does it work if each team uses different tools?
Yes. What gets learned is not a tool: it is how to give it context, how to review what it returns and what not to delegate. That carries over.